Research on antioxidants has been gaining worldwide attention because of their essential applications for medicinal purposes. In this study, we conducted bioprospecting of six Asteraceae plants as the source of antiaging and antioxidant agents. Water and chloroform fractions from Ageratum conyzoides L., Dichrocephala integrifolia (L.f.) Kuntze, Galinsoga parviflora (Cav.), Mikania micrantha Kunth, Sphagneticola trilobata (L.) Pruski, and Synedrella nodiflora L. were collected and assayed for their in vitro antioxidant activities and potential antiaging properties using the yeast Schizosaccharomyces pombe as the model organism. Based on the in vitro assay, the water fractions of S. trilobata showed a strong antioxidant activity. Interestingly, all treatment solutions promoted the stress tolerance phenotype of S. pombe to strong H2O2-induced oxidative stress conditions. Moreover, compared with the treatments without plant extract/fraction, all extract and fraction treatments, except the chloroform fractions of A. conyzoides, promoted yeast cell longevity. Strong induction of mitochondria activity was found following the treatments with the extracts and fractions of S. nodiflora, D. integrifolia, and M. micrantha and likely mimicked the calorie restriction-induced lifespan. Interestingly, S. nodiflora water fractions significantly upregulated the mRNA transcripts of the Pap1-mediated core environmental stress response, namely, ctt1 gene in S. pombe. These data indicated that the fractions of Asteraceae plants had potential antioxidant and antiaging activities through various cellular modulations. S. nodiflora water fraction has been shown to have antioxidant and antiaging activities in S. pombe, by modulating stress tolerance response, inducing mitochondrial activity, and increasing the ctt1 gene expression. Compounds analysis identified that S. nodiflora water fraction contained some primarily compounds including oxyphyllacinol, valine, and sugiol.

<p>Limbah tulang ayam meningkat seiring dengan peningkatan konsumsi ayam. Namun, belum banyak penelitian yang memanfaatkan limbah tulang sebagai sumber kolagen. Penelitian ini bertujuan mengetahui pengaruh ukuran kolagen terhadap aktivitas anti aging berupa aktivitas antioksidan, antiglikasi, dan inhibitor tirosinase  secara <em>in vitro</em> dan mendapatkan teknik isolasi kolagen <em>anti aging</em> optimum dari tulang ayam. Isolasi kolagen dilakukan dengan variasi  konsentrasi NaOH, yaitu 0,05 M; 0,10 M; dan 0,20 M, dilanjutkan dengan perendaman menggunakan asam asetat 1 M. Kolagen yang diisolasi dengan NaOH 0,10 M merupakan kolagen dengan ukuran partikel, rendemen, dan antiglikasi terbesar (berturut-turut 2,34 µm, 12,59%, 61,06%) dan memiliki spektrum inframerah yang paling sesuai dengan kolagen standar. Kolagen ini kemudian diaduk dengan kecepatan 1000 rpm selama 6 dan 8 jam untuk pengecilan ukuran. Kolagen dengan pengadukan 6 jam mempunyai ukuran partikel lebih kecil (1,34 µm) dibandingkan dengan pengadukan 8 jam (1,80 µm). Kolagen dengan ukuran 1,34 µm menunjukkan aktivitas terbaik yaitu aktivitas antioksidan terhadap 2,2-difenil-1-pikrilhidrazil (DPPH) sebesar 24,70% dan inhibitor tirosinase sebesar 26,77%. Berdasarkan aktivitas antioksidan, antiglikasi, dan antitirosinase, kolagen dengan perendaman NaOH 0,10 M dan pengadukan selama 6 jam memiliki sifat anti aging yang paling baik.</p><p><strong><strong>In Vitro Anti-Aging Activity of Chicken (<em>Gallus gallus domesticus</em>) Bone Waste Collagen</strong>. </strong>Chicken bone waste increases with increasing chicken compsumtion. However, study on utilizing chicken bone for collagen source has not been widely explored. This study aims to determine the effect of collagen size on their anti aging activity, and to obtain the optimum condition to produce the chicken (<em>Gallus gallus domesticus</em>) collagen in the high yield and the best activity. Collagen isolation was carried out in various NaOH concentrations of 0.05 M, 0.10 M, and 0.20 M, followed by the maceration on acetic acid 1 M. The isolation in NaOH 0.10 M produced the collagen with particle size of 2.34 µm in yield of 12.59% and anti-glycation of 61.06%. The revealed infrared spectrum of the isolated collagen is almost the same with the spectrum of the standart collagen. The collagen in 2.34 µm was further stirred at a 1000 rpm for 6 and 8 hours to reduce the size. Collagen stirred in 6 hours has a smaller particle size (1.34 µm) compared with that of stirred in 8 hours which has a particle size of 1.80 µm. The collagen with size of 1.34 µm showed the best activity, which revealed the antioxidant activity of 2,2-diphenyl-1-picrylhydrazyl (DPPH) of 24.70% and tyrosinase inhibitors of 26.77%. Based on antioxidant activity, anti-glycation, and anti-tyrosinase, the collagen which was isolated in 0.10 M NaOH and was stirred in 6 hours has the best anti-aging property.</p>

Mango fruit (Mangifera indica L.) is the tropical fruit that grows easily in Indonesia with plenty varieties. This study aimed to determine the varieties of mango fruit and the most potent part of mango as antidiabetic agent through α-glucosidase inhibitory activities. Four types of mango fruit (indramayu, manalagi, harum manis, and budiraja) were used in this study. Each part of the mango fruit:peel, flesh, endosperm, and endocarp were extracted by maceration process with three different solvents (n-hexane, ethyl acetate (EtOAc), and ethanol (EtOH)). An ability of all 46 extracts in inhibiting the α-glucosidase at a concentration of 500 ppm were determined. Then 11 extracts with the high inhibition value were determined their IC50 (concentration to inhibit 50% activity) values. EtOAc extract of manalagi, indramayu, and budi raja endosperm had the lowest IC50 value which was not statistically significantly different (at 95%) with EtOAc extract of budi raja peel. The bioautographic Thin Layer Chromatogram showed that the most active band is characterized by white luminescence under UV 366 nm, yellow color under UV 254 and visible light. The band with Rf 0.93 from EtOAc endosperm extract of indramayu and manalagi and Rf 0.73 from EtOAc budi raja peel extract are the most active band which predicted as a flavonoid. The result adds the value of the peel and seed of mango, as well as an alternative in blood sugar control, which is easy to obtain, relatively cheap, and liked by the community. used were different. Cahyanto (2017) has conducted a study of characterization of mango characteristics based on peel anatomy and morphology in Subang, Indonesia against 21 mango varieties that showed different results for each variety. Differences in morphology and anatomy of each mango fruit varieties are expected to be associated with the active component compound content. Therefore, this study aimed to determine the varieties, namely manalagi, harum manis, budi raja, and indramayu and parts of the most potent mangoes as antidiabetic agent through inhibiting the activity of the α-glucosidase enzyme. The result of this study can add the value of all parts of the mango, especially the peel and seed, as well as an alternative in blood sugar control, which is easy to obtain, relatively cheap, and was liked by the community. In addition, the results of this study can be a reference for further research related to antidiabetic activity on mango fruit. How to Cite METHODSFour varieties of mango fruit (manalagi, harum manis, budi raja, and indramayu) were used in this research. All sample were determined in LIPI Cibinong. Each mango fruit was separated into four parts (peels, flesh, endocarp, and endosperm), then dried to dry perfectly at 60 ° C in the oven. After perfectly dried, all sample were grinded into powder.All sample were extracted by maceration methods ranging from n-hexane, EtOAc, and EtOH. The extraction was performed with a sample and solvent ratio of 1: 5 and 1:10 adjusted to the sample condition. The extract ob...

Tumbuhan Asteraceae dilaporkan mengandung metabolit sekunder tinggi yang aktif sebagai antioksidan. Senyawa antioksidan juga digunakan untuk mencegah penuaan/reaksi glikasi. Penelitian ini bertujuan menentukan aktivitas antioksidan dan antiglikasi 7 tumbuhan Asteraceae. Daun Adenostema lavenia, Ageratum conyzoides, Dichrocephala integrifolia, Galinsoga parvifolia, Synedrella nodiflora, Mikania micrantha, dan Sphagneticola trilobata masing-masing diekstraksi menggunakan air. Ekstrak kemudian ditentukan kandungan total fenol, flavonoid, dan aktivitas antioksidan menggunakan metode 1,1-difenil-2-pikrilhidrazil (DPPH) dan 2,2’-azino-bis(3 ethylbenzothiazoline-6-sulfonic acid (ABTS), serta aktivitas antiglikasi. Ekstrak dengan kadar total fenolik dan flavonoid tertinggi adalah ekstrak M. micrantha. Ekstrak A. lavenia memiliki aktivitas antioksidan terhadap DPPH tertinggi dengan nilai IC50 sebesar 121,82 μg/mL dan A. conyzoides tertinggi terhadap ABTS dengan kapasitas sebesar 4,51 mg trolox ekivalen (TE)/g ekstrak. Aktivitas antiglikasi tertinggi pada ekstrak G. parvifolia sebesar 90,67% yang tidak berbeda nyata dengan ekstrak A. lavenia (87,87%) dan S. trilobata (87,38%). Secara keseluruhan ekstrak A. lavenia dan S. trilobata baik dikembangkan sebagai antioksidan dan antiglikasi.

Beberapa tumbuhan Asteraceae dilaporkan memiliki kandungan senyawa fitokimia dan aktivitas antioksidan yang tinggi. Senyawa yang bersifat sebagai antioksidan dapat digunakan untuk mencegah terbentuknya radikal bebas yang dapat memicu terjadinya reaksi penuaan/reaksi glikasi. Penelitian ini bertujuan menentukan aktivitas antioksidan dan antiglikasi dari 7 tumbuhan Asteraceae. Tujuh tumbuhan diekstraksi menggunakan air, kemudian pada ekstrak air tersebut ditentukan kandungan total fenol, flavonoid, dan aktivitas antioksidan menggunakan metode DPPH (1,1-difenil-2-pikrilhidrazil) dan metode ABTS (2,2’-azino-bis(3 ethylbenzothiazoline-6-sulfonic acid, serta aktivitas antiglikasi. A. lavenia dan S. trilobata memiliki aktivitas antioksidan yang tinggi dengan nilai IC50 DPPH tertinggi sebesar 121.82 μg/mL dan aktivitas ABTS tertinggi sebesar 3.63 mg trolox/g ekstrak. Aktivitas antiglikasi pada ekstrak air A. lavenia sebesar 87.87% sedangkan pada S. trilobata sebesar 87.38%.